<?xml version="1.0" encoding="utf-8" standalone="no"?>
<!DOCTYPE document PUBLIC "-//CNX//DTD CNXML 0.5 plus MathML//EN" "http://cnx.rice.edu/cnxml/0.5/DTD/cnxml_mathml.dtd">
<document xmlns="http://cnx.rice.edu/cnxml" xmlns:md="http://cnx.rice.edu/mdml/0.4" xmlns:m="http://www.w3.org/1998/Math/MathML" xmlns:bib="http://bibtexml.sf.net/" id="m11167">

  <name>Additional Measures of Central Tendency</name>

  <metadata>
  <md:version>2.2</md:version>
  <md:created>2003/05/14</md:created>
  <md:revised>2003/07/11 15:26:52.311 GMT-5</md:revised>
  <md:authorlist>
    <md:author id="dmlane">
      <md:firstname>David</md:firstname>
      
      <md:surname>Lane</md:surname>
      <md:email>lane@rice.edu</md:email>
    </md:author>
  </md:authorlist>

  <md:maintainerlist>
    <md:maintainer id="dmlane">
      <md:firstname>David</md:firstname>
      
      <md:surname>Lane</md:surname>
      <md:email>lane@rice.edu</md:email>
    </md:maintainer>
    <md:maintainer id="kclarks">
      <md:firstname>Kyle</md:firstname>
      
      <md:surname>Clarkson</md:surname>
      <md:email>kclarks@rice.edu</md:email>
    </md:maintainer>
  </md:maintainerlist>
  
  <md:keywordlist>
    <md:keyword>measures</md:keyword>
    <md:keyword>central</md:keyword>
    <md:keyword>tendency</md:keyword>
    <md:keyword>trimean</md:keyword>
    <md:keyword>geometric</md:keyword>
    <md:keyword>trimmed</md:keyword>
  </md:keywordlist>

  <md:abstract/>
</metadata>



  <content>
    <para id="Marzipan">
       Although the <term>mean</term>, <term>median</term>, and
    <term>mode</term> are by far the most commonly used measures of
    central tendency, they are by no means the only measures. This
    section defines three additional measures of central tendency: the
    <term>trimean</term>, the <term>geometric mean</term>, and the
    <term>trimmed mean</term>. These measures will be discussed again
    in the section <cnxn document="m11011" strength="7">Comparing
    Measures of Central Tendency.</cnxn>
    </para>

    <section id="trimean">
      <name>Trimean</name>
      
      <para id="Strongsad">
	The trimean is a weighted average of the 25th percentile, the
	50 percentile, and the 75th percentile. Letting P25 be the
	25th percentile, P50 be the 50th and P75 be the 75th
	percentile, the formula for the trimean is:

	<m:math display="block">
	  <m:apply>
	    <m:eq/>
	    <m:ci>Trimean</m:ci>
            <m:apply>
	      <m:divide/>
              <m:apply>
	        <m:plus/>
	        <m:ci>P25</m:ci>
                <m:apply>
	          <m:times/>
	          <m:cn>2</m:cn>
	          <m:ci>P50</m:ci>
		</m:apply>
                <m:ci>P75</m:ci>
                </m:apply>
              <m:cn>4</m:cn>
            </m:apply>
          </m:apply>
        </m:math>

      </para>

      <para id="Trevor">
	As you can see from the formula, the median is weighted twice
	as much as the 25th and 75th percentiles.
      </para>

      <para id="Ali">
	<cnxn target="table1" strength="9"/> shows the number of
	touchdown (TD) passes thrown by each of the 31 teams in the
	National Football League in the 2000 season. The relevant
	percentiles are shown in <cnxn target="table2" strength="9"/>
      </para>

      <table id="table1" frame="all">
	<name>Number of Touchdown Passes</name>
	<tgroup cols="11" colsep="1" rowsep="1">
	  <tbody>
	    <row>
	      <entry align="center">37</entry>
	      <entry align="center">33</entry>
	      <entry align="center">33</entry>
	      <entry align="center">32</entry>
	      <entry align="center">29</entry>
	      <entry align="center">28</entry>
	      <entry align="center">28</entry>
	      <entry align="center">23</entry>
	      <entry align="center">22</entry>
	      <entry align="center">22</entry>
	      <entry align="center">22</entry>
	    </row>
	    <row>
	      <entry align="center">21</entry>
	      <entry align="center">21</entry>
	      <entry align="center">21</entry>
	      <entry align="center">20</entry>
	      <entry align="center">20</entry>
	      <entry align="center">19</entry>
	      <entry align="center">19</entry>
	      <entry align="center">18</entry>
	      <entry align="center">18</entry>
	      <entry align="center">18</entry>
	      <entry align="center">18</entry>
	    </row>
	    <row>
	      <entry align="center">16</entry>
	      <entry align="center">15</entry>
	      <entry align="center">14</entry>
	      <entry align="center">14</entry>
	      <entry align="center">14</entry>
	      <entry align="center">12</entry>
	      <entry align="center">12</entry>
	      <entry align="center">9</entry>
	      <entry align="center">6</entry>
	      <entry align="center"/>
	      <entry align="center"/>
	    </row>
	  </tbody>
	</tgroup>
      </table>

      <table id="table2" frame="all">
	<name>Percentiles</name>
	<tgroup cols="2" colsep="1" rowsep="1">
	  <thead>
	    <row>
	      <entry>Percentile</entry>
	      <entry>Value</entry>
	    </row>
	  </thead>
	  <tbody>
	    <row>
	      <entry align="center">25</entry>
	      <entry align="center">15</entry>
	    </row>
	    <row>
	      <entry align="center">50</entry>
	      <entry align="center">20</entry>
	    </row>
	    <row>
	      <entry align="center">75</entry>
	      <entry align="center">23</entry>
	    </row>
	  </tbody>
	</tgroup>
      </table>

      <para id="sister">
	the trimean is therefore
	<m:math>
	  <m:apply>
	    <m:eq/>
	    <m:apply>
	      <m:divide/>
	      <m:apply>
		<m:plus/>
		<m:cn>15</m:cn>
		<m:apply>
		  <m:times/>
		  <m:cn>2</m:cn>
		  <m:cn>20</m:cn>
		</m:apply>
		<m:cn>23</m:cn>
	      </m:apply>
	      <m:cn>4</m:cn>
	    </m:apply>
	    <m:apply>
	      <m:divide/>
	      <m:cn>78</m:cn>
	      <m:cn>4</m:cn>
	    </m:apply>
	    <m:cn>19.5</m:cn>
	  </m:apply>
	</m:math>

      </para>
    </section>

    <section id="geometricmean">
      <name>Geometric Mean</name>
      
      <para id="coachz">
	The geometric mean is computed by multiplying all the numbers
	together and then taking the nth root of the product. For
	example, for the numbers 1, 10, and 100, the product of all
	the numbers is: 
	<m:math>
	  <m:apply>
	    <m:eq/>
	    <m:apply>
	      <m:times/>
	      <m:cn>1</m:cn>
	      <m:cn>10</m:cn>
	      <m:cn>100</m:cn>
	    </m:apply>
	    <m:cn>1000</m:cn>
	  </m:apply>
	</m:math>

	Since there are three
	numbers, we take the cubed root of the product (1,000) which
	is equal to 10. The formula for the geometric mean is
	therefore

	<m:math display="block">
	  <m:apply>
	    <m:power/>
	    <m:apply>
	      <m:product/>
	      <m:ci>X</m:ci>
	    </m:apply>
	    <m:apply>
	      <m:divide/>
	      <m:cn>1</m:cn>
	      <m:ci>N</m:ci>
	    </m:apply>
	  </m:apply>
	</m:math>
      
	where the symbol <m:math><m:apply><m:product/></m:apply></m:math> means to
	multiply. Therefore, the equation says to multiply all the
	values of X and then raise the result to the 1/Nth
	power. Raising a value to the 1/Nth power is, of course, the
	same as taking the Nth root of the value. In this case,
	<m:math>
	  <m:apply>
	    <m:divide/>
	    <m:cn>10001</m:cn>
	    <m:cn>3</m:cn>
	  </m:apply>
	</m:math>
	is the cube root of 1,000.

      </para>
      
      <para id="homestar">
	The geometric mean has a close relationship with
	logarithms. <cnxn target="table3" strength="9"/>
	shows the logs (base 10) of these three
	numbers. The arithmetic mean of the three logs is 1. The
	anti-log of this arithmetic mean of 1 is the geometric
	mean. The anti-log of 1 is 101 = 10. Note that the geometric
	mean only makes sense if all the numbers are positive.
      </para>

      <table id="table3" frame="all">
	<name>Logarithms</name>
	<tgroup cols="2" colsep="1" rowsep="1">
	  <thead>
	    <row>
	      <entry>X</entry>
	      <entry>
		<m:math>
		  <m:apply>
		    <m:log/>
		    <m:logbase>
		      <m:cn>10</m:cn>
		    </m:logbase>
		    <m:ci>X</m:ci>
		  </m:apply>
		</m:math>
	      </entry>
	    </row>
	  </thead>
	  <tbody>
	    <row>
	      <entry align="center">1</entry>
	      <entry align="center">0</entry>
	    </row>
	    <row>
	      <entry align="center">10</entry>
	      <entry align="center">1</entry>
	    </row>
	    <row>
	      <entry align="center">100</entry>
	      <entry align="center">2</entry>
	    </row>
	  </tbody>
	</tgroup>
      </table>
      
    </section>
	
    <section id="trimmedmean">
      <name>Trimmed Mean</name>
      
      <para id="bubs">
	To compute a trimmed mean, you remove some of the higher and
	lower scores and compute the mean of the remaining scores. A
	mean trimmed 10% is a mean computed with 10% of the scores
	trimmed off; 5% from the bottom and 5% from the top. A mean
	trimmed 50% is computed by trimming the upper 25% of the
	scores and the lower 25% of the scores and computing the mean
	of the remaining scores. The trimmed mean is similar to the
	median which, in essence, trims the upper 49+% and the lower
	49+% of the scores. Therefore the trimmed mean is a hybrid of
	the mean and the median. To compute the mean trimmed 20% of
	the touchdown pass data shown in Table 1, you remove the lower
	10% of the scores (6, 9, and 12) as well as the upper 10% of
	the scores (33, 33, and 37) and compute the mean of the
	remaining 25 scores. This mean is 20.16.
      </para>
    </section>
  </content>
  
</document>
